Data Management

A leading fintech company got a unified cloud platform for massive-scale data engineering, a data science platform and data security powered by artificial intelligence.

Blockchain
Data Science
Data Management

Background

Multiple and scattered data sources are a major issue for a lot of growing companies. For many fast-developing businesses, it becomes increasingly difficult to store and maintain the quality of the data being collected. This leads to cases of missing data and inconsistent data, logic conflicts, as well as data duplication.

These were some of the issues this company experienced in their previous data warehouse that resulted in low data quality. If they could get it resolved, all the information in the centralized database could be easily accessed from the same location and at the same time. This company was looking for an integrated and centralized data system, as well as a sophisticated data warehouse.

Every other option they considered didn’t have the robust data pipelines to manage the flow of data from the point of generation to storage. This was when they reached out to Voyance.

The Solution

The company looked at the services Voyance was offering and decided it was exactly what they needed. With Voyance Pipelines and Voyance Ops, they were equipped with a sophisticated data warehouse built to scale and able to handle more queries as their business grew.

The Results

The centralized database they got helped them save cost as it required less power and maintenance.

The Voyance Pipelines provided them with a sophisticated data warehouse built to scale and able to handle more queries as the business grows

They started enjoying:

Integrated cloud platform for massive-scale data engineering

Access to a collaborative data science platform and

Data security powered by artificial intelligence.

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